C. Wang
Impact in
-
- Hormonal and reproductive studies
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
- Sperm and Testicular Function
- Ovarian function and disorders
Papers in
-
- Pituitary Gland Disorders and Treatments 4
- Growth Hormone and Insulin-like Growth Factors 4
- Hormonal and reproductive studies 3
- Surgery 5
- Co-authors
- ROSE T. T. YEUNG (11 shared papers)Henry Burger (2 shared papers)G. C. RENNIE (2 shared papers)H.W.G. Baker (2 shared papers)Bryan Hudson (2 shared papers)K. K. Pun (5 shared papers)Karen S.L. Lam (6 shared papers)Marjorie Dunlop (1 shared paper)
In The Last Decade
C. Wang
22 papers receiving 769 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 469
- Reproductive Medicine 181
- Behavioral Neuroscience 48
- Orthopedics and Sports Medicine 68
- Pathology and Forensic Medicine 99
Countries citing papers authored by C. Wang
This map shows the geographic impact of C. Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by C. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Wang more than expected).
Fields of papers citing papers by C. Wang
This network shows the impact of papers produced by C. Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by C. Wang. The network helps show where C. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 248 | |
| 2 | 1976 | 165 | |
| 3 | 1993 | 55 | |
| 4 | 1987 | 55 | |
| 5 | 1987 | 48 | |
| 6 | 1990 | 39 | |
| 7 | 1994 | 38 | |
| 8 | 1986 | 38 | |
| 9 | 1981 | 37 | |
| 10 | 1990 | 13 | |
| 11 | 1979 | 13 | |
| 12 | 1986 | 12 | |
| 13 | 1985 | 11 | |
| 14 | 1988 | 10 | |
| 15 | 2010 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2016 | 6 | |
| 19 | 1990 | 4 | |
| 20 | 1981 | 3 |
About C. Wang
C. Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Health, Toxicology and Mutagenesis and Epidemiology, having authored 24 papers that have together received 820 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Bone health and osteoporosis research (3 papers), Environmental Toxicology and Ecotoxicology (3 papers), Hormonal and reproductive studies (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Reproductive biology and impacts on aquatic species (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (469 citations), Reproductive Medicine (181 citations), Behavioral Neuroscience (48 citations), Orthopedics and Sports Medicine (68 citations) and Pathology and Forensic Medicine (99 citations). C. Wang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include ROSE T. T. YEUNG, Henry Burger, G. C. RENNIE, H.W.G. Baker, Bryan Hudson, K. K. Pun, Karen S.L. Lam, Marjorie Dunlop, John M. Court and D.M. de Kretser. Their work appears in journals such as Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Clinical Radiology, Journal of Hazardous Materials and Osteoporosis International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.